Prepare AI-ready analytics data in Microsoft Fabric
At a glance
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Subject
Prepare your semantic layer for AI by adding metadata and linguistic context to gold-layer data stores and semantic models, then generate ontologies that AI agents use to answer business questions.
Prerequisites
- Experience designing and publishing semantic models in Microsoft Fabric
- Familiarity with DAX measures and relationships in semantic models
- Basic understanding of how AI agents consume structured data
Achievement Code
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Modules in this learning path
Design gold layers, semantic models, and documentation that enable Copilot, data agents, and enterprise ontologies to deliver accurate, business-relevant insights.
Microsoft Fabric IQ provides a way to define business vocabulary in an ontology and bind the ontology to data sources. Learn about ontology items, data agents, Graph in Microsoft Fabric, and Power BI semantic models. Discover how ontology modeling differs from traditional analytical modeling by starting with business concepts rather than specific use cases.
Ontologies in Fabric IQ transform your data into a business vocabulary that everyone can understand. In this module, you'll learn two ways to create ontologies - building manually to understand the core components, or generating automatically from Power BI semantic models to accelerate development. You'll practice both approaches and learn how to connect your ontology to data sources in OneLake, including lakehouse tables and eventhouse streams.